transitiontrees
0.1.2Transition Trajectories and Dynamics of Variable-Length Pathways or Sequences
Overview
Analyzes transition trajectories in event, sequence, and ordered data, focusing on how states follow one another, how far processes unfold, and where pathways branch or converge. Trajectories are modeled using variable-order prediction suffix trees (Ron, Singer, & Tishby, 1996) doi:10.1023/A:1026490906255, implemented in both frequency-based and prediction-based forms. The framework includes multiple pruning, validation, and smoothing techniques to ensure model robustness. Visualization options include transition trees, radial sunburst diagrams, transition heatmaps, and forward trajectory trees.
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- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-197 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 29%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 6%
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Checks run against github.com/mohsaqr/transitiontrees on 2026-07-31.
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1 release. R releases are shown for context.
- 0.1.2Latest2026-06-18 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-18
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.1
- Bundled data
- 115 KB / 4 files
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet